Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Tools and Skills for .NET 8

You're reading from   Tools and Skills for .NET 8 Get the career you want with good practices and patterns to design, debug, and test your solutions 

Arrow left icon
Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781837635207
Length 778 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
Arrow right icon
View More author details
Toc

Table of Contents (22) Chapters Close

Preface 1. Introducing Tools and Skills for .NET 2. Making the Most of the Tools in Your Code Editor FREE CHAPTER 3. Source Code Management Using Git 4. Debugging and Memory Troubleshooting 5. Logging, Tracing, and Metrics for Observability 6. Documenting Your Code, APIs, and Services 7. Observing and Modifying Code Execution Dynamically 8. Protecting Data and Apps Using Cryptography 9. Building an LLM-Based Chat Service 10. Dependency Injection, Containers, and Service Lifetime 11. Unit Testing and Mocking 12. Integration and Security Testing 13. Benchmarking Performance, Load, and Stress Testing 14. Functional and End-to-End Testing of Websites and Services 15. Containerization Using Docker 16. Cloud-Native Development Using .NET Aspire 17. Design Patterns and Principles 18. Software and Solution Architecture Foundations 19. Your Career, Teamwork, and Interviews 20. Epilogue 21. Index

Running local LLMs

In this section, we will look at how you can download and run LLMs on your local computer.

Hugging Face

Hugging Face is a popular open-source platform for building and sharing state-of-the-art models in NLP. It is known for creating tools, libraries, and resources that democratize access to advanced machine-learning models. There are several areas where Hugging Face makes contributions to the LLM community:

  • Transformers library: This provides a wide range of pretrained models for various NLP tasks, such as text generation, translation, summarization, and question-answering.
  • Datasets library: This provides a vast collection of datasets ready for use in machine learning projects, covering a wide range of tasks and domains.
  • Model hub: This is a platform where users can upload and share their own models with the community, browse and download models shared by others, and access tools for evaluating and benchmarking model performance.
  • ...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime